DIFF.BLOG
New Following Discover Jobs
More
Top Writers Suggest a blog Upvotes plugin
Report bug Contact About
Sign up
Topics
Follow your own topics →
Menu
New Following Discover Jobs Top Writers
More
Suggest a blog Upvotes plugin Report bug Contact About
Sign up
The home for great developer writing.
We surface the best developer writing from thousands of independent blogs, updated daily.
Join Diff.blog
TOPICS

Inherited Circuits, Learned Semantics: How Security Fine-Tuning Can Create Hidden Evasion Risk

14 · Blogs Cisco · June 29, 2026, 7:30 p.m.
Artificial Intelligence (AI) AI Security Cybersecurity fine-tuning large language models Phishing
Summary
This blog post discusses how the fine-tuning process of large language models can be applied in cybersecurity, particularly for tasks like classifying phishing emails and analyzing suspicious URLs, while highlighting potential evasion risks that may arise from this process.
Read full post on blogs.cisco.com →
MORE POSTS LIKE THIS
OSFT explained: Prevent catastrophic forgetting in LLM fine-tuning
Red Hat · Jul 28, 2026
fine-tuning Machine Learning
AI Project: Efficient Fine-Tuning with LoRA and PEFT (Train LLMs on Consumer Hardware)
Ahmed Nabil · Jun 22, 2026
Data Science python projects
Microsegmentation: Your Digital First Responder to LLM Threats
Linode · Jun 17, 2026
Microsegmentation Cybersecurity
Train an LLM on an NVIDIA Blackwell Desktop with Unsloth—and Scale It
NVIDIA Corporation · Oct 23, 2025
Agentic AI / Generative AI Data Center / Cloud
For Z.ai's GLM-5.3, post-training is all you need
Thestack · Aug 14, 2026
Z.ai AI Models
Z.ai debuts GLM-5.3 with long-horizon coding, cybersecurity upgrades
Siliconangle · Aug 14, 2026
AI News
Discover more posts →
AUTHOR
RECENT POSTS FROM THE AUTHOR
Choose how you want to continue.
Continue with GitHub Continue with Google